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Data Analyst R Programming Jobs in Manitoba (NOW HIRING)

RRC Power and Energy

... programming language for technical modeling, automation, and data analysis. Proficient in power system analysis software including CYMCAP, ETAP, PSCAD, PSSE, or similar platforms. Knowledge of energy ...

BRISTOL HOSPITAL GROUP

R.E.). We are Magnet ® and received the 2020 Press Ganey Leading Innovator award for our rapid ... Experience analyzing current and past financial data and performance. * General Ledger (GL ...

Payworks Inc.

Business Operations Analyst

Winnipeg, MB · Hybrid

... engineering. +Experience planning and executing projects of small to medium sizes. +Experience ... to analyze data, identify trends and drive innovative solutions. +Proficiency with various ...

Cayenta

(Remote) Support Analyst

Winnipeg, MB · Remote

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to ...

Brunel

Structural Engineer/ Winnipeg

Winnipeg, MB · On-site

Activities include layout development and structural analysis of industrial structures for both ... Sound knowledge of 3D data-centric design systems * Sound knowledge of engineering management ...

New Flyer

Service Project Engineer

Winnipeg, MB · On-site

Utilize failure and warranty data analysis to identify key improvement areas, collaborating with ... Bachelor's degree in engineering. * Minimum 5 years of experience in an engineering capacity.

New Flyer

Service Project Engineer

Winnipeg, MB · On-site

Utilize failure and warranty data analysis to identify key improvement areas, collaborating with ... Bachelor's degree in engineering. * Minimum 5 years of experience in an engineering capacity.

Valsoft Corporation

Developer

Winnipeg, MB · On-site

Work closely with Solutions Architects, Business Analysts, Account Managers, DevOps, and other team ... Adhere to data security, privacy, and compliance standards in all development work * Ensure proper ...

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Data Analyst R Programming information

See Manitoba salary details

$12

$39

$70

How much do data analyst r programming jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data analyst r programming in Manitoba is $39.49, according to ZipRecruiter salary data. Most workers in this role earn between $31.49 and $45.91 per hour, depending on experience, location, and employer.

What is a data analyst r programming?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a data analyst r programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the key skills and qualifications needed to thrive in the data analyst r programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What are popular job titles related to Data Analyst R Programming jobs in Manitoba?

For Data Analyst R Programming jobs in Manitoba, the most frequently searched job titles are:

What job categories do people searching Data Analyst R Programming jobs in Manitoba look for?

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Data Analyst R Programming jobs near you
Infographic showing various Data Analyst R Programming job openings in Manitoba as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $82,141 per year, or $39.5 per hour.

Electrical Engineering Manager I, RRC Power & Energy, LLC, Round Rock, TX

RRC Power and Energy

On-site

Full-time

Posted 29 days ago

Job description

Duties: Design and lead engineering efforts for Battery Energy Storage Systems (BESS) and related DC, low-voltage, and medium-voltage AC electrical infrastructure, including switchgear and distribution equipment. Conduct and/or review detailed system studies such as ampacity, load flow, short circuit, power loss analysis, protective device coordination, and arc flash. Manage and coordinate project design, scheduling, and progress monitoring across all phases, ensuring compliance with IEEE, NESC, NEC, NFPA, QA/QC policies, and performance standards. Interpret client and developer requirements and translate them into technical solutions. Review manufacturer drawings for design compliance and integration requirements. Perform quality control checks on project deliverables, including drawings and engineering studies, and direct designers and drafters on technical drawing requirements. Collaborate closely with the BESS Manager, Project Manager, and multidisciplinary teams to provide technical leadership. Develop and enhance internal engineering standards, processes, and project execution strategies while staying current on evolving renewable energy and battery storage technologies. Serve as lead project engineer, coordinating with developers, engineers of record, and internal teams, with the potential to advance to project engineering group leadership within two years.

Requirements: Master’s degree in Energy Systems, Electrical Engineering, Renewable Engineering, or a closely related field, plus a minimum of 2 years of progressively responsible experience in battery energy storage systems (BESS), renewable energy generation, electrical distribution, or medium-voltage (MV) power systems; or Bachelor’s degree in Energy Systems, Electrical Engineering, Renewable Engineering, or a closely related field, plus a minimum of 4 years of progressively responsible experience in battery energy storage systems (BESS), renewable energy generation, electrical distribution, or medium-voltage (MV) power systems. Demonstrated expertise applying IEEE, NESC, NEC, and NFPA standards to utility-scale energy projects. Advanced proficiency in MS Word, Excel, and Outlook, with experience developing automation tools using VBA. Advanced proficiency in Python or another engineering-oriented programming language for technical modeling, automation, and data analysis. Proficient in power system analysis software including CYMCAP, ETAP, PSCAD, PSSE, or similar platforms. Knowledge of energy project development processes across multiple U.S. energy markets, including permitting, interconnection, and compliance requirements. Specialized understanding of power marketing principles, renewable project contractual frameworks, and concept-level system design. Strong written and verbal communication skills in English, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Ability to travel nationally to client sites up to 25%.

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